A neural network approach to predicting urban building energy consumption
نویسندگان
چکیده
`Only for the MLP do we include the hourly weather data as part of the input space, resulting in 25 features. And for the ResNet model, we one-hot encode day of the week and month into our input space, resulting in 41 initial input features. MULTILAYER PERCEPTRON (MLP) Our baseline of comparison is a basic MLP that consists of three fully connected layers, containing a hidden layer with 24 neurons one with and one without using weather data as an input. These models are formalized as:
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